Your Oracle AI agents are only as good as the data underneath them.
BluePeak EDM makes Oracle Fusion AI agents reliable by solving the enterprise data foundation they depend on. Assessment, remediation, and governance for finance teams activating agentic applications.
Agents fail upward. Bad data becomes bad decisions.
Finance teams are activating Oracle's AI agents and hitting the same wall.
Oracle shipped over 600 prebuilt Fusion AI agents. Most are included in the subscription. The capability is real. The problem is that agents running on incomplete metadata, unaligned hierarchies, and uncleaned master data produce outputs no controller can sign off on.
The agents flag noise
A variance agent built on inconsistent account structures surfaces exceptions that are not real, and misses the ones that are. The finance team loses trust in week one.
The numbers cannot be trusted
When an agent autonomously routes a payable or posts an adjustment on corrupted vendor or entity data, the error is not a bad report. It is a bad transaction.
It lands on finance, not IT
This is not an infrastructure problem IT can patch. It is a data governance problem that sits squarely on the controller's and the CFO's desk.
From agents you cannot trust to a finance function that governs by exception.
- Agents produce false exceptions and miss real ones
- Variance analysis generates noise the team ignores
- The CFO cannot certify AI generated numbers
- Manual intervention quietly continues underneath the AI
- The agentic investment shows no measurable return
- Data foundation meets the prerequisites reliable agents require
- Agents run cleanly against trustworthy master data
- Finance governs by exception, not by manual rework
- Autonomous decisions carry a clear audit trail
- The agentic investment produces a defensible ROI
Scoped, priced, and built for the next two years of agentic finance.
Every offering is fixed in scope and published in price. Finance executives should not have to fill out a form to learn whether something fits the budget.
AI Agent Readiness Assessment
A fixed scope evaluation of your Oracle EDM data against the prerequisites for reliable Fusion AI agents. Scored across five dimensions, with a prioritized remediation roadmap.
Data Foundation Remediation
Execution of the gaps the assessment found: metadata cleanup, hierarchy normalization, attribute completeness, and cross application alignment, tested against the agents that depend on it.
Fusion AI Agent Studio Configuration & Governance
Configuring agents for your EPM environment, setting policy guardrails, defining human escalation thresholds, and building the audit framework around autonomous financial decisions.
AI Data Quality Monitoring
Ongoing monitoring of the data signals that determine whether your agents stay reliable. Dashboards, weekly quality scores, drift detection, and a human analyst reviewing what gets flagged.
Fusion AI Agent Training & Change Enablement
A two to three day on site workshop for the people who will govern the agents, not configure them. How Fusion agentic applications actually work, what changes for the finance team's daily workflow, and what human accountability looks like when an agent acts autonomously.
BluePeak Embedded
The same five disciplines, run as one continuous program by a senior architect for organizations facing an AI rollout, an acquisition, or a system overhaul that cannot wait for projects scoped one at a time.
Thirty years in the Oracle ecosystem, focused on the one layer that now decides whether AI works.
Answers finance leaders ask first.
What does BluePeak EDM do?
Why do Oracle Fusion AI agents produce unreliable results?
What is an AI Agent Readiness Assessment?
How is BluePeak EDM different from a large systems integrator?
Find out if your agents are working, or just running.
The AI Agent Readiness Assessment is a fixed scope, fixed fee engagement. In three to four weeks you will know where your data stands and what it takes to close the gap.
Book a Readiness Conversation